async def job_status(
kstatus: MutableMapping[str, Any],
client: kubernetes_tools.KubeClient,
job_config: LongRunningServiceConfig,
pod_list: Sequence[V1Pod],
replicaset_list: Sequence[V1ReplicaSet],
verbose: int,
namespace: str,
) -> None:
app_id = job_config.get_sanitised_deployment_name()
kstatus["app_id"] = app_id
kstatus["pods"] = []
kstatus["replicasets"] = []
if verbose > 0:
num_tail_lines = calculate_tail_lines(verbose)
kstatus["pods"] = await asyncio.gather(
*[pod_info(pod, client, num_tail_lines) for pod in pod_list])
for replicaset in replicaset_list:
try:
ready_replicas = replicaset.status.ready_replicas
if ready_replicas is None:
ready_replicas = 0
except AttributeError:
ready_replicas = 0
kstatus["replicasets"].append({
"name":
replicaset.metadata.name,
"replicas":
replicaset.spec.replicas,
"ready_replicas":
ready_replicas,
"create_timestamp":
replicaset.metadata.creation_timestamp.timestamp(),
})
kstatus["expected_instance_count"] = job_config.get_instances()
app = kubernetes_tools.get_kubernetes_app_by_name(name=app_id,
kube_client=client,
namespace=namespace)
desired_instances = (job_config.get_instances()
if job_config.get_desired_state() != "stop" else 0)
deploy_status, message = await kubernetes_tools.get_kubernetes_app_deploy_status(
app=app,
kube_client=client,
desired_instances=desired_instances,
)
kstatus[
"deploy_status"] = kubernetes_tools.KubernetesDeployStatus.tostring(
deploy_status)
kstatus["deploy_status_message"] = message
kstatus["running_instance_count"] = (app.status.ready_replicas
if app.status.ready_replicas else 0)
kstatus["create_timestamp"] = app.metadata.creation_timestamp.timestamp()
kstatus["namespace"] = app.metadata.namespace
async def job_status(
kstatus: MutableMapping[str, Any],
client: kubernetes_tools.KubeClient,
job_config: LongRunningServiceConfig,
pod_list: Sequence[V1Pod],
replicaset_list: Sequence[V1ReplicaSet],
verbose: int,
namespace: str,
) -> None:
app_id = job_config.get_sanitised_deployment_name()
kstatus["app_id"] = app_id
kstatus["pods"] = []
kstatus["replicasets"] = []
if verbose > 0:
num_tail_lines = calculate_tail_lines(verbose)
for pod in pod_list:
container_statuses = pod.status.container_statuses or []
pod_event_messages = await get_pod_event_messages(client, pod)
containers = [
dict(
name=container.name,
tail_lines=await get_tail_lines_for_kubernetes_container(
client,
pod,
container,
num_tail_lines,
),
) for container in container_statuses
]
kstatus["pods"].append({
"name":
pod.metadata.name,
"host":
kubernetes_tools.get_pod_hostname(client, pod),
"deployed_timestamp":
pod.metadata.creation_timestamp.timestamp(),
"phase":
pod.status.phase,
"ready":
kubernetes_tools.is_pod_ready(pod),
"containers":
containers,
"reason":
pod.status.reason,
"message":
pod.status.message,
"events":
pod_event_messages,
})
for replicaset in replicaset_list:
try:
ready_replicas = replicaset.status.ready_replicas
if ready_replicas is None:
ready_replicas = 0
except AttributeError:
ready_replicas = 0
kstatus["replicasets"].append({
"name":
replicaset.metadata.name,
"replicas":
replicaset.spec.replicas,
"ready_replicas":
ready_replicas,
"create_timestamp":
replicaset.metadata.creation_timestamp.timestamp(),
})
kstatus["expected_instance_count"] = job_config.get_instances()
app = kubernetes_tools.get_kubernetes_app_by_name(name=app_id,
kube_client=client,
namespace=namespace)
desired_instances = (job_config.get_instances()
if job_config.get_desired_state() != "stop" else 0)
deploy_status, message = kubernetes_tools.get_kubernetes_app_deploy_status(
app=app,
kube_client=client,
desired_instances=desired_instances,
)
kstatus[
"deploy_status"] = kubernetes_tools.KubernetesDeployStatus.tostring(
deploy_status)
kstatus["deploy_status_message"] = message
kstatus["running_instance_count"] = (app.status.ready_replicas
if app.status.ready_replicas else 0)
kstatus["create_timestamp"] = app.metadata.creation_timestamp.timestamp()
kstatus["namespace"] = app.metadata.namespace